scholarly journals A Solution Approach to the Daily Dockworker Planning Problem at a Port Container Terminal

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ivana Vukicevic Bisevac ◽  
Natasa Vidic ◽  
Katarina Vukadinovic
Keyword(s):  
Assignment Problem ◽  
Container Terminal ◽  
Real Data ◽  
Integrated Approach ◽  
Container Terminals ◽  
Planning Problem ◽  
Sequential Approach ◽  
Solution Approach ◽  
Quay Crane Assignment ◽  
The Impact

This study focused on vital resources at port container terminals such as quay cranes and dockworkers. We studied the impact of incorporating the dockworker assignment problem (DWAP) into the quay crane assignment problem (QCAP). The aim of this study was to formulate and solve an integrated model for QCAP and DWAP, with the objective of minimizing the total costs of dockworkers, by optimizing workers’ assignment, so that the ships’ costs due to the time spent in the port are not increased. We proposed an integrated solution approach to the studied problem. Our proposed model has been validated on an adequate number of instances based on the real data. Obtained solutions were compared with the solutions obtained by the traditional sequential approach. It was demonstrated that, for all solved instances, our proposed integrated approach resulted in a reduction in the total costs of dockworkers. The major contribution of this study is that this is the first time that these two problems were modeled together. The obtained results show significant savings in the overall costs.

scholarly journals A Hybrid GA with Variable Quay Crane Assignment for Solving Berth Allocation Problem and Quay Crane Assignment Problem Simultaneously

2019 ◽  
Vol 11 (7) ◽  
pp. 2018 ◽  
Author(s):  
Hsien-Pin Hsu ◽  
Tai-Lin Chiang ◽  
Chia-Nan Wang ◽  
Hsin-Pin Fu ◽  
Chien-Chang Chou
Keyword(s):  
Assignment Problem ◽  
Container Terminal ◽  
Allocation Problem ◽  
Container Terminals ◽  
Mutation Operator ◽  
Berth Allocation ◽  
Berth Allocation Problem ◽  
Fitness Value ◽  
Quay Crane Assignment ◽  
Time Invariant

Container terminals help countries to sustain their economic development. Improving the operational efficiency in a container terminal is important. In past research, genetic algorithms (GAs) have been widely used to cope with seaside operational problems, including the berth allocation problem (BAP) and quay crane assignment problem (QCAP) individually or simultaneously. However, most GA approaches in past studies were dedicated to generate time-invariant QC assignment that does not adjust QCs assigned to a ship. This may underutilize available QC capacity. In this research, three hybrid GAs (HGAs) have been proposed to deal with the dynamic and discrete BAP (DDBAP) and the dynamic QCAP (DQCAP) simultaneously. The three HGAs supports variable QC assignment in which QCs assigned to a ship can be further adjusted. The three HGAs employ the same crossover operator but a different mutation operator and a two-stage procedure is used. In the first stage, these HGAs can generate a BAP solution and a QCAP solution that is time-invariant. The time-invariant QC assignment solution is then further transformed into a variable one in the second stage. Experiments have been conducted to investigate the effects of the three HGA and the results showed that these HGAs outperformed traditional GAs in terms of fitness value. In particular, the HGA3 with Thoros mutation operator had the best performance.

Optimal berth allocation under regular and emergent vessel arrivals

2020 ◽  
pp. 147509022093788
Author(s):  
Abbas Al-Refaie ◽  
Hala Abedalqader
Keyword(s):  
Waiting Time ◽  
Container Terminal ◽  
Allocation Problem ◽  
Container Terminals ◽  
Future Research ◽  
Satisfaction Level ◽  
Berth Allocation ◽  
Scheduling Problems ◽  
Berth Allocation Problem ◽  
Quay Crane Assignment

This research proposes two optimization models to deal with the berth allocation problem. The first model considers the berth allocation problem under regular vessel arrivals to minimize the flow time of vessels in the marine container terminal, minimize the tardiness penalty costs, and maximize the satisfaction level of vessels’ operators on preferred times of departure. The second model optimizes the berth allocation problem under emergency conditions by maximizing the number of assigned vessels, minimizing the vessel’s waiting time, and maximizing the satisfaction level on the served ships. Two real examples are provided for model illustration under regular and emergent vessel arrivals. Results show that the proposed models effectively provide optimal vessel scheduling in the terminal, reduce costs at an acceptable satisfaction level of vessels’ operators, decrease the waiting time of vessels, and shorten the delay in departures under both regular and emergent vessel arrivals. In conclusion, the proposed models may provide valuable assistance to decision-makers in marine container terminals on determining optimal berth allocation under daily and emergency vessel arrivals. Future research considers quay crane assignment and scheduling problems.

Study on the Impact of Inner Anchorage on Waterway Traffic Capacity

2013 ◽  
Vol 438-439 ◽  
pp. 2013-2016 ◽  
Author(s):  
Wen Yuan Wang ◽  
Guo Lei Tang ◽  
Zi Jian Guo ◽  
Xiang Qun Song ◽  
Peng Cheng Du
Keyword(s):  
Theoretical Foundation ◽  
Container Terminal ◽  
Simulation Method ◽  
Container Terminals ◽  
Major Constraint ◽  
Traffic Capacity ◽  
Overall Performance ◽  
The Impact

As the number of calling ships in container terminals rises, waterways in some harbors have become the major constraint to the overall performance of the ports service. By constructing anchorages, the congestion that happens frequently in harbor can be effectively eased, thus the traffic capacity is greatly enhanced. The purpose of this paper is to study the impact of anchorage number on waterway traffic capacity and provide theoretical foundation when deciding the anchorage scale. A simulation method with consideration of anchorages is adopted to analyze the vessels entering and departing process in coastal container terminal. Results show that waterway traffic capacity and anchorage number are polynomial correlated, waterway traffic capacity increases with the growth of anchorage number and ceases when beyond a certain level. It will be of great help to serve the planning and constructing ports and terminals.

scholarly journals The Microsimulation Model for Assessing the Impact of Inbound Traffic Flows for Container Terminals Located near City Centers

2020 ◽  
Vol 12 (22) ◽  
pp. 9478
Author(s):  
Neven Grubisic ◽  
Tomislav Krljan ◽  
Livia Maglić ◽  
Siniša Vilke
Keyword(s):  
Fuel Consumption ◽  
Container Terminal ◽  
Urban Traffic ◽  
Container Terminals ◽  
Critical Parameters ◽  
Traffic Flows ◽  
Traffic Demand ◽  
Gate Time ◽  
The Impact ◽  
The City

The growth of container transport places increasing demand on traffic, especially in situations where container terminals are located near the city centers. The main problem is traffic congestion on networks caused by the integration of Heavy-Duty Vehicles and urban traffic flows. The main objective is to identify the critical traffic parameters which cause negative organizational and environmental impacts on the existing and future traffic demand. A micro-level traffic simulation model was implemented for the testing of the proposed framework-based supply, demand, and control layers. The model was generated and calibrated based on the example of a mid-size Container Terminal “Brajdica” and the City of Rijeka, Croatia. The results indicate that the critical parameters are Queue Length on the approach road to the Container Terminal and the Stop Delay on the main city corridor. High values of these parameters cause negative effects on the environment because of increased fuel consumption and the generation of extra pollution. Due to this problem, a sensitivity analysis of the traffic system performance has been conducted, with a decrement of Terminal Gate Time distribution by 10%. After re-running simulations, the results indicate the impact of subsequent variation in Terminal Gate Time on the decrease of critical parameters, fuel consumption, and vehicle pollution.

scholarly journals Common resources-resource bundling-performance: the mediating role of resource bundling in container terminal operations

2020 ◽  
Vol 50 (9/10) ◽  
pp. 809-831
Author(s):  
Teddy Laksmana ◽  
Himanshu Shee ◽  
Vinh V. Thai
Keyword(s):  
Structural Equation ◽  
Container Terminal ◽  
Service Performance ◽  
Government Support ◽  
Container Terminals ◽  
Equation Modeling ◽  
Content Type ◽  
Common Resources ◽  
Container Terminal Operations ◽  
The Impact

PurposeBuilding on the resource-based view (RBV) perspective of common resources, the objective of this paper is to empirically examine the impact of container terminals' common resources (i.e. government support and terminal resources) on resource bundling strategies and subsequent effect on service performance.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 216 respondents of Indonesia's container terminals, this study used structural equation modeling (SEM) to test the hypothesised relationships between common resources, resource bundling strategies and service performance.FindingsGovernment support and terminal resources (personnel and physical), both as sources of common resources when bundled effectively, are found to have positive and significant effect on terminal service performance. The resource bundling strategies fully mediate the relationship between container terminals' common resources and service performance.Practical implicationsThe study introduces the notion of common resources to container terminal managers in contrast to the valuable, rare, inimitable and non-substitutable (VRIN) types. It is recommended that appropriate resource bundling strategies can turn the common resources into VRIN resources that can be used to obtain desired service performance.Originality/valueRBV theorists suggest that resources that are VRIN types can be the source of competitive advantage. However, the resources can also be common, basic and valuable, a fact that is rarely investigated in the literature. These common resources can be bundled judiciously with other pre-existing resources to create VRIN resources. This research enriches the RBV by empirically validating that VRIN resources are embedded within various common resources bundling strategies.

Towards A Decision Support System for Optimization of Container Placement in a Container Terminal

2017 ◽  
Vol 8 (3) ◽  
pp. 59-72
Author(s):  
Zakaria Bendaoud ◽  
Khadidja Yachba
Keyword(s):  
Decision Support ◽  
Transportation Network ◽  
Container Terminal ◽  
Container Terminals ◽  
Placement Problem ◽  
Buffer Zones ◽  
Solution Approach ◽  
Dynamic Constraints ◽  
Loading And Unloading ◽  
Mode Of Transport

Maritime transport moves a majority of the goods and global trade around the globe. This mode of transport involves loading and unloading of containers at ports. Upon arrival at a port, the ships remain inactive during the operations of loading and unloading. The terminal operator receives a schedule indicating the dates of loading and unloading of containers and their locations in the storage areas. Once berthing takes place, ships are unloaded by gantry cranes to the handling area, where the containers are then collected for transfer to storage areas or buffer zones. Container terminals are essential inter-modal interfaces for the worldwide transportation network. An optimal location for a container terminal is very important for the operators and companies as it can minimize the number of unnecessary movements within the storage area and the terminal, which can reduce transportation costs. In this work, the authors propose a container placement problem and a solution approach through a model for decision support that can solved and optimized for the storage space available. In other words, a model that minimizes the total number of unnecessary movements, while respecting the dynamic constraints of space and time.

A New Genetic Algorithm for Continuous Berth and Quay Crane Allocation Problem

2011 ◽  
Vol 97-98 ◽  
pp. 619-622 ◽  
Author(s):  
Na Li ◽  
Zhi Hong Jin ◽  
Erick Massami
Keyword(s):  
Genetic Algorithm ◽  
Assignment Problem ◽  
Container Terminal ◽  
Allocation Problem ◽  
Berth Allocation ◽  
Improved Genetic Algorithm ◽  
Berth Allocation Problem ◽  
The Real ◽  
Quay Cranes ◽  
Quay Crane Assignment

The combined optimization of continuous berth allocation problem and quay crane assignment problem are solved. Considering the real constraints of container terminal, an improved genetic algorithm is proposed. The chromosome is composed of berthing time, berthing location and number of quay cranes. While in the following, specific quay cranes are fixed to assign to ships. Through comparisons with the former two literatures, the results are improved averagely by 33.78% and 28.57% respectively by the proposed genetic algorithm, which shows its effectiveness.

scholarly journals Assessment of the impact of current weather forecasts in the task of space survey planning

2021 ◽  
Vol 22 (2) ◽  
pp. 139-147
Author(s):  
Peter E. Rozin ◽  
Yuri A. Smolyaninov
Keyword(s):  
Cloud Cover ◽  
Real Data ◽  
Planning Problem ◽  
Weather Forecasts ◽  
The Earth ◽  
Different Types ◽  
Planning Algorithm ◽  
Distribution Of Points ◽  
Survey Planning ◽  
The Impact

The article is devoted to the actual task of planning the work of a group of different types of spacecraft for remote sensing of the Earth. An enlarged algorithm for solving the planning problem for different types of spacecraft is described. The result of the enlarged algorithm is sought in the form of a set of reference plans for groups of similar spacecraft, thinned out by removing some of the conflicting operations of resetting the sensing data. The characteristics of the developed plans largely depend on the methodology used to account for the impact of cloud cover. The possibility of implementing a methodology based on the use of files of current weather forecasts of hydrometeorological centers downloaded from the Internet in the form of a special application is investigated. The created application is being tested on the real data of the hydrometeorological center downloaded from the American server, which covers a large region, including the European part of Eurasia and part of Africa. An application that simulates the distribution of points within a region estimates the number of points covered by weak cloud cover (20% or less). Based on the results of the simulation, it was found that the proportion of points available for shooting lies in the range from about a quarter to a third. Based on the obtained quantitative estimates, it is concluded that taking into account the influence of cloud cover radically changes the reference plans calculated taking into account only illumination, and affects the structure of the enlarged planning algorithm.

scholarly journals A DECISION SUPPORT TOOL FOR CONTAINER TERMINAL OPTIMIZATION WITHIN THE BERTH SUBSYSTEM

Transport ◽  
2015 ◽  
Vol 31 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Maja Stojaković ◽  
Elen Twrdy
Keyword(s):  
Decision Support ◽  
Economies Of Scale ◽  
Container Terminal ◽  
Real Data ◽  
Decision Support Tool ◽  
Container Terminals ◽  
Special Focus ◽  
Support Tool ◽  
Container Ports ◽  
Small Container

The article deals with a current problem faced by all ports: how to enable container terminals to keep up with the development of container ships, which, due to economies of scale, are constantly increasing in size. One solution that can help small container ports solve this problem is a use of a Decision Support Tool (DST). The DST is based on simulations and identifications of the container terminal components that require optimization for the reception of the desired ship size in a given port. It consists of the six parts of the terminal that define the operational ship-to-shore system that determines the quality of service when a ship is in the port. A DST was tested on the real data of twelve Mediterranean container terminals. Special focus was made on the optimization possibilities of the container terminal in the port of Koper.

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